Visual DB – Web front end for your database

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If you have a cloud-hosted database, read on: Visual DB was designed for you. Visual DB is the fastest way to create data entry forms for your database: Starting with an Excel spreadsheet, you can import your data into the database and create a great-looking form in under 10 minutes. Watch this video: https://youtu.be/6rVD5rmrjN8 Visual DB is a comprehensive SaaS frontend for your database. In addition to data entry forms, Visual DB also has a spreadsheet-like interface for inserting and updating data in your database. You can also build interactive reports using Visual DB. Finally, although not intended as a replacement for your database's admin tool, Visual DB can browse schema, create tables, set up relationships, and import and export data. Visual DB began as a drag-and-drop form builder for databases. Forms created with Visual DB are practically indistinguishable from those hand-coded using React. You can add client-side validation, set available values (displayed in dropdowns), define default values, and even add logic to dynamically hide or disable fields—all without writing a single line of code! With Visual DB Forms, you’ll never have to write another CRUD app again. If you have been using Excel to manage data and running into its limits because the volume of data has grown, Visual DB Sheets may be of interest to you. With its spreadsheet-like interface, Visual DB Sheets allows users to interact with data as they would in Excel, while securely storing that data in a robust relational database. Spreadsheet-database hybrids have been around for a while now, but we believe we have one of the best implementations, with features such as advanced grouping, support for foreign keys and lookup tables, query parameters, full-text as-you-type filtering, and so on. The newest feature of Visual DB is interactive reporting. Traditional reporting tools offer limited interactivity. For example, while most reporting tools support time series charts, they do not allow users to zoom or pan along the time axis. In contrast, Visual DB supports this capability thanks to its innovative approach: it downloads the dataset to the client and processes and visualizes data directly in the browser. This allows it to handle user interactions without a server round trip. Visual DB has excellent support for query parameters, which allows you to bring only the subset of data that's of interest (up to 100K rows), to the client. Visual DB supports PostgreSQL (including Neon), MySQL, SQL Server and Oracle. Give it a whirl, and we look forward to getting your feedback: https://visualdb.com

Visit product View on Hacker NewsSep 10, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, visual · Missing: mac, agents, macos

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports, created, para · Missing: reddit linkedin, podcasting, latex

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: video, visualize, users · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, interface, builder · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, active · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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